Data Engineering Manager

Data Engineering Manager page is loaded## Data Engineering Managerlocations: Londontime type: Full timeposted on: Posted Todayjob requisition id: JR0422**What you will be doing*** Support Head of Data Engineering and contribute to establish / enforce best practices, coding standards, and development methodologies for the data engineering team. Drive continuous improvement in data engineering processes to enhance efficiency, reliability and scalability.* Manage a team of skilled data engineers, providing guidance, mentorship, and support to ensure the team\’s success in delivering high-quality solutions.* Contribute to defining and executing the data engineering roadmap, collaborating with other technical and business leaders to align data initiatives with overall business goals.* Possess and maintain a deep understanding of the technical stack, including Scala, Python, SQL, Snowflake, and DBT. Provide technical guidance and expertise to the team when facing complex challenges.* Collaborate with data architects and analysts to design and optimise data models, pipelines, and workflows that support data transformation, integration, and analysis.* Ensure data accuracy, consistency, and reliability throughout the data pipelines. Implement monitoring, alerting, and quality control mechanisms to identify and address issues proactively.* Work closely with business teams, analysts and data science to understand their requirements and provide timely data solutions that support their objectives.* Plan, prioritise, and oversee multiple data engineering projects simultaneously, ensuring on-time delivery and high-quality outcomes.**Your Skills and Experience****We need knowledge, experience + expertise in:*** Bachelor\’s or Master\’s degree in Computer Science, Engineering, or a related field.* Proven experience (9+ years) in data engineering with a focus on building scalable data pipelines, data integration, and data transformation.* Demonstrated experience (3+ years) in managing and leading data engineering teams.* Strong proficiency in Scala, Python, SQL, Snowflake and DBT.* In-depth understanding of data modelling, ETL processes, and data warehousing concepts.* Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) and containerisation technologies (e.g., Docker, Kubernetes) is a plus.* Excellent problem-solving skills and a track record of delivering innovative and practical data solutions.* Strong communication skills with the ability to collaborate effectively across technical and non-technical teams.* Detail-oriented mindset with a focus on data accuracy and quality#LI-Hybrid#LI-TM1**We work with Textio to make our job design and hiring inclusive.**Permanent #J-18808-Ljbffr